Geoff Chong

1.1k citations
26 papers · 421 · h-index 9

Impact in

  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • Colorectal Cancer Surgical Treatments
    • Cancer Immunotherapy and Biomarkers
    • Lymphoma Diagnosis and Treatment
    • Genetic factors in colorectal cancer

Papers in

    • Colorectal Cancer Treatments and Studies 11
    • Cancer Treatment and Pharmacology 6
    • Cancer Immunotherapy and Biomarkers 2
    • Lung Cancer Treatments and Mutations 5
    • Gastric Cancer Management and Outcomes 4

Geoff Chong

24 papers receiving 408 citations

Peers

Geoff Chong
Comparison fields: 5 of 51
  • Oncology 218
  • Pathology and Forensic Medicine 84
  • Hepatology 21
  • Immunology 58
  • Pulmonary and Respiratory Medicine 72
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Citations per field
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Citations per year

Countries citing papers authored by Geoff Chong

Since Specialization
Citations

This map shows the geographic impact of Geoff Chong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geoff Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Chong more than expected).

Fields of papers citing papers by Geoff Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoff Chong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geoff Chong. The network helps show where Geoff Chong may publish in the future.

Co-authors

The 25 scholars most cited alongside Geoff Chong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Geoff Chong Line = papers co-authored together Geoff Chong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005125
2 200555
3 201555
4 201154
5 200526
6 200519
7 200512
8 200910
9 20189
10 20237
11 20197
12 20066
13 20176
14 19775
15 20055
16 20054
17 20213
18 20103
19 20232
20 20062

About Geoff Chong

Geoff Chong is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Surgery and Genetics, having authored 26 papers that have together received 421 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (11 papers), Lymphoma Diagnosis and Treatment (8 papers), Cancer Treatment and Pharmacology (6 papers), Lung Cancer Treatments and Mutations (5 papers), Gastric Cancer Management and Outcomes (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Oncology (218 citations), Pathology and Forensic Medicine (84 citations), Hepatology (21 citations), Immunology (58 citations) and Pulmonary and Respiratory Medicine (72 citations). Geoff Chong has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David Cunningham, Paul J. Ross, A. Norman, A. Wotherspoon, Francesca Negri, Andrew Grigg, Eliza A. Hawkes, Mark Rosen, Mark Hill and A. Norman. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Hematological Oncology, British Journal of Cancer and Clinical Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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